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JuliaGPU/KernelAbstractions.jl

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Heterogeneous programming in Julia

7 mentions on Hacker News by 7 people: 0 stories, 7 comments · first 2020-05-10 · latest 2025-09-05

Mentions per year 7 mentions · busiest year 2021 (4)
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  1. >You don't write kernels in Julia. The package https://github.com/JuliaGPU/KernelAbstractions.jl was specifically designed so that julia can be compiled down to kernels. Julia's is high level yes, but Julia's semantics allow it to be…
    comment by arbitrandomuser · 2025-09-05 · in ML needs a new programming language – Interview with Chris Lattner
  2. >Higher level abstractions like these? https://github.com/JuliaGPU/KernelAbstractions.jl https://github.com/mcabbott/Tullio.jl https://github.com/JuliaFolds/FoldsCUDA.jl https://juliagpu.gitlab.io/CUDA.jl/usage/array/
    comment by amkkma · 2021-12-07 · in Generic GPU Kernels
  3. …[2] https://github.com/JuliaGPU/AMDGPU.jl [3] https://github.com/JuliaGPU/oneAPI.jl [4] https://github.com/JuliaGPU/KernelAbstractions.jl
    comment by eigenspace · 2021-06-20 · in Is Julia Really Fast?
  4. For kernel programming, https://github.com/JuliaGPU/KernelAbstractions.jl (shortened to KA) is what the JuliaGPU team has been developing as a unified programming interface for GPUs of any flavor. It's not significantly different from the…
    comment by jpsamaroo · 2021-06-14 · in Cuda.jl v3.3: union types, debug info, graph APIs
  5. https://github.com/JuliaGPU/KernelAbstractions.jl
    comment by pabs3 · 2021-06-14 · in Cuda.jl v3.3: union types, debug info, graph APIs
  6. …and elegant. Code looks like regular Julia code. Documentation well behind CUDA, of course. [^0]: https://github.com/JuliaGPU/KernelAbstractions.jl/blob/maste...
    comment by snicker7 · 2020-09-09 · in Fast.ai and why Python is not the future of ML with Jeremy Howard
  7. …Julia's base parallelism work + everything around it like CuArrays.jl and KernelAbstractions.jl ( https://github.com/JuliaGPU/KernelAbstractions.jl ), derivatives come from 4 libraries, ODEs from etc. the list keeps going. So bringing it…
    comment by ChrisRackauckas · 2020-05-10 · in Julia library for fast machine learning